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disprofas  

Non-Parametric Dissolution Profile Analysis
View on CRAN: Click here


Download and install disprofas package within the R console
Install from CRAN:
install.packages("disprofas")

Install from Github:
library("remotes")
install_github("cran/disprofas")

Install by package version:
library("remotes")
install_version("disprofas", "0.2.0")



Attach the package and use:
library("disprofas")
Maintained by
Pius Dahinden
[Scholar Profile | Author Map]
First Published: 2021-12-06
Latest Update: 2021-12-08
Description:
Similarity of dissolution profiles is assessed using the similarity factor f2 according to the EMA guideline (European Medicines Agency 2010) "On the investigation of bioequivalence". Dissolution profiles are regarded as similar if the f2 value is between 50 and 100. For the applicability of the similarity factor f2, the variability between profiles needs to be within certain limits. Often, this constraint is violated. One possibility in this situation is to resample the measured profiles in order to obtain a bootstrap estimate of f2 (Shah et al. (1998) ). Other alternatives are the model-independent non-parametric multivariate confidence region (MCR) procedure (Tsong et al. (1996) ) or the T2-test for equivalence procedure (Hoffelder (2016) ). Functions for estimation of f1, f2, bootstrap f2, MCR / T2-test for equivalence procedure are implemented.
How to cite:
Pius Dahinden (2021). disprofas: Non-Parametric Dissolution Profile Analysis. R package version 0.2.0, https://cran.r-project.org/web/packages/disprofas. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.2 (2021-12-06 09:40), 0.1.3 (2021-12-08 13:40), 0.2.0 (2024-06-10 10:40)
Other packages that cited disprofas R package
View disprofas citation profile
Other R packages that disprofas depends, imports, suggests or enhances
Complete documentation for disprofas
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